Objective: This study aimed to assess the diagnostic performance of the Risk of Ovarian Malignancy Algorithm (ROMA), Copenhagen Index (CPH-I), and Ovarian Adnexal Reporting and Data System (O-RADS) for the preoperative prediction of ovarian cancer (OC). Methods: A prospective cohort study was conducted on 462 patients diagnosed with ovarian tumors admitted to the Departments of Obstetrics and Gynecology, Hue University of Medicine and Pharmacy Hospital, and Hue Central Hospital from May 2020 to December 2022. ROMA and CPH-I were calculated using cancer antigen 125 (CA125), human epididymal protein 4 (HE4) levels, and patient characteristics (age and menopausal status). O-RADS criteria were applied to describe ovarian tumor characteristics from ultrasound findings.Compared with histopathological results, the predictive values of ROMA, CPH-I, and O-RADS alone or in combination with CA125/HE4 for OC were calculated. Results: Among 462 patients, 381 had benign tumors, 11 had borderline tumors, and 50 had OC. At optimal cut-off points, ROMA’s and CPH-I’s areas under the curves (AUCs) were 0.880 (95% confidence interval [CI]=0.846–0.909) and 0.890 (95% CI=0.857–0.918), respectively, and ROMA and CPH-I sensitivities/specificities (Se/Sp) were 68.85%/95.01% and 77.05%/91.08%, respectively. O-RADS ≥3 yielded an AUCs of 0.949 (95% CI=0.924–0.968), with Se/Sp of 88.52%/88.98% (p<0.001). Combining O-RADS with CA125 demonstrated the highest predictive value, with AUCs of 0.969 (95% CI=0.949–0.983) and Se/Sp of 98.36%/86.09% (p<0.001). Conclusion The ROMA, CPH-I, O-RADS, O-RADS + CA125, and O-RADS + HE4 models demonstrated good predictive values for OC; the combination of O-RADS and CA125 yielded the highest values.

Background: Psychological factors such as anxiety and depression have been recognized as the etiology of temporomandibular disorders. Objectives: The study aimed to evaluate the prevalence of temporomandibular disorders in dental students and describe the state of depression and anxiety and related factors in the students with the disorders. Materials and methods: 323 students at the Faculty of Odonto-Stomatology, Hue University of Medicine and Pharmacy, were examined to detect temporomandibular disorders, using the DC/TMD axis I. Then GAD-7 and PHQ-9 questionnaires were used to screen for anxiety and depression in the group with the disorders. Results: The proportion of students with temporomandibular disorders was 38.1%, intra-articular disorders accounted for the highest rate (80.5%). The percentages of depression and anxiety among students with the disorder were 28.4% and 55.3%, respectively. 41.5% of TMD students had mild anxiety and the same proportion of students had risk of depression. Risk factors associated with depression and anxiety were economic status and excercise, respectively (p < 0.05). Conclusions: The percentage of students with temporomandibular disorders is relatively high. The majority of students with the disorders are at risk for depression and low level of anxiety. There is a link between the economic status and depression, between exercise and anxiety.